{"id":"W4388728636","doi":"10.1038/s41591-023-02637-5","title":"Wireless broadband acousto-mechanical sensing system for continuous physiological monitoring","year":2023,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"Fondation de l'Hôpital de Montréal pour enfants","keywords":"Continuous monitoring; Cardiorespiratory fitness; Broadband; Inertial measurement unit; Computer science; Medicine; Respiratory monitoring; Wireless; Real-time computing; Respiratory system; Telecommunications; Artificial intelligence; Internal medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002653709,0.0003478372,0.0003422182,0.0003463041,0.0002423504,0.0003640868,0.0005789864,0.0006713027,0.003877877],"category_scores_gemma":[0.0005032512,0.0001503109,0.0001461325,0.0003097565,0.0001417424,0.0004588278,0.0005004255,0.0002929472,0.001613629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595697,"about_ca_system_score_gemma":0.0002019328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002419215,"about_ca_topic_score_gemma":0.0005275828,"domain_scores_codex":[0.9996452,0.00007055779,0.00002117669,0.00009852607,0.0001405354,0.00002397536],"domain_scores_gemma":[0.9996915,0.0001042566,0.00004940955,0.00002414252,0.0001064837,0.00002415219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003316592,0.0001237303,0.001856971,0.0002304874,0.00003432957,0.0002293662,0.00009073959,0.0004270076,0.8573416,0.0008951471,0.004810949,0.133628],"study_design_scores_gemma":[0.0002796877,0.003894212,0.03074003,0.0001716157,0.0004308619,0.006139483,0.0002463486,0.1157448,0.7466609,0.001570623,0.09393364,0.0001877538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2701601,0.006793116,0.6983048,0.001927132,0.0015996,0.0003714754,0.001027531,0.004127027,0.01568933],"genre_scores_gemma":[0.8157545,0.002189192,0.147086,0.002144283,0.0008595146,0.0003786668,0.0005616982,0.0001069328,0.03091921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003877877,"threshold_uncertainty_score":0.01297277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398161388631151,"score_gpt":0.3227322095029024,"score_spread":0.2987505956165909,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}